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New Potentials for Data-Driven Intelligent Tutoring System Development and Optimization

Kenneth R. Koedinger, Emma Brunskill, Ryan S.J.d. Baker, Elizabeth A. McLaughlin, John Stamper
2013 The AI Magazine  
Such data can be used to help advance our understanding of student learning and enable more intelligent, interactive, engaging, and effective education.  ...  We provide examples of use of a variety of techniques to develop or optimize the select, evaluate, suggest, and update functions of intelligent tutors, including probabilistic grammar learning, rule induction  ...  Acknowledgements Thanks to the National Science Foundation #SBE-0836012 for funding of LearnLab at the Pittsburgh Science of Learning Center (  ... 
doi:10.1609/aimag.v34i3.2484 fatcat:xcrcq6iuyzexxpi6cfcoaf67qm

Tools for Building Intelligent Tutoring Systems

V. Kodaganallur, R. Weitz, D. Rosenthal
2006 Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06)  
Intelligent Tutoring Systems (ITSs) have proved useful in a variety of domains, but are notoriously resource intensive to build.  ...  We have created two programs ("tutor generators") for assisting users in building ITSs conforming to two prominent intelligent tutoring paradigms: model-tracing and constraint-based.  ...  While there are many definitions of an ITS, an established commonality is that they all require an ITS to use a knowledge base to build a model of a student as the student interacts with the system.  ... 
doi:10.1109/hicss.2006.490 dblp:conf/hicss/KodaganallurWR06 fatcat:otmkt6jvifdz7puj56htd6ha3y

Incorporation of Artificial Intelligence Tutoring Techniques in Mathematics

Marios Pappas, Athanasios Drigas
2016 International Journal of Engineering Pedagogy (iJEP)  
Intelligent Tutoring Systems incorporate Artificial Intelligence techniques, in order to imitate a human tutor.  ...  These expert systems are able to assess student's proficiency, to provide solved examples and exercises for practice in each topic, as well as to provide immediate and personalized feedback to learners  ...  In 2013 Waalkens, Aleven and Taatgen developed an Intelligent Tutoring System for solving linear equations using example-tracing tutors.  ... 
doi:10.3991/ijep.v6i4.6063 fatcat:c45bjwgr65hhdirzgjho2cbsmy

An Interview Reflection on "Intelligent Tutoring Goes to School in the Big City"

Kenneth R. Koedinger, Vincent Aleven
2015 International Journal of Artificial Intelligence in Education  
The Pittsburgh Urban Mathematics Project (PUMP) has produced an algebra curriculum that is centrally focused on mathematical analysis of real world situations and the use of computational tools.  ...  We have built an intelligent tutor, called PAT, that supports this curriculum and has been made a regular part of 9th grade Algebra in 3 Pittsburgh schools.  ...  Thanks to the teachers of the experimental and comparison classes.  ... 
doi:10.1007/s40593-015-0082-8 fatcat:jkkl4spknjdjpi6ovvefzkjd44


Tsai Chen Chien, Aida Suraya Md.Yunus, Wan Zah Wan Ali, Ab. Rahim Bakar
2008 International Journal of Instruction  
In this experimental study, use of Computer Assisted Instruction (CAI) followed by use of an Intelligent Tutoring System (CAI+ITS) was compared to the use of CAI (CAI only) in tutoring students on the  ...  The findings of the study indicated that CAI+ITS was more effective in helping students learn algebraic expression as compared to using CAI alone.  ...  The Effect of an Intelligent Tutoring System... Instruction, July 2008 • Vol.1, No.2 International Journal of  ... 
doaj:8e5c39b31c794ea7a5c4c9c9df52dd8b fatcat:y6w4givhdfernpawkar4hxr2oe

Adaptive Intelligent Support to Improve Peer Tutoring in Algebra

Erin Walker, Nikol Rummel, Kenneth R. Koedinger
2013 International Journal of Artificial Intelligence in Education  
To validate our approach, we conducted a controlled study that demonstrated that our system provided students with more relevant support and was more effective at improving student learning than parallel  ...  In this paper, we describe an adaptive system we have developed to support help-giving during peer tutoring in high school algebra: the Adaptive Peer Tutoring Assistant (APTA).  ...  Thanks to Ruth Wylie for her comments and Sean Walker for his work on the assessment algorithm.  ... 
doi:10.1007/s40593-013-0001-9 fatcat:kysgrp4adrh5pofkqvlx3qprxm

Review of intelligent tutoring systems using bayesian approach [article]

R. Santhi, B. Priya, J.M. Nandhini
2013 arXiv   pre-print
These new intelligent tutoring systems (ITSs) called cognitive tutors; incorporated model-tracing technology which is a cognitive model of student problem solving that captures students multiple strategies  ...  Such Intelligent tutoring systems or Knowledge Based Tutoring Systems can guide learners to progress in the learning process at their best.  ...  Introduction An Intelligent Tutoring Systems is educational software containing an Artificial Intelligence component.  ... 
arXiv:1302.7081v1 fatcat:zhh7ahvgojcyzinu32naeld6s4

Data-Driven Hint Generation in Intelligent Tutoring Systems for Learning Microeconomics

Bui Trong Hieu, Bui Thi Kim Uyen
2019 European Journal of Engineering Research and Science  
Intelligent tutoring systems (ITSs) have been shown to be effective in supporting students' domain-level learning through guided problem solving practice.  ...  Because of the large possible range of problem solving behavior for any individual topic, the amount of expert involvement required to create an effective, adaptable tutoring system can be high, especially  ...  According to [5] , an Intelligent Tutoring System (ITS) is a computer system that provides immediate and customized instruction or feedback to learners.  ... 
doi:10.24018/ejers.2019.4.9.1510 fatcat:f5rhkcbs6bhqvmsfvwkqqywne4

Intelligent Tutoring Systems

J. R. Anderson, C. F. Boyle, B. J. Reiser
1985 Science  
Second, it is used to trace each student's growing knowledge in a process we call know! edge tracing. Model-Tracing Tutors.  ...  The ideal student model is also used to trace the student's growing knowledge state and to implement a variation of mastery learning.  ... 
doi:10.1126/science.228.4698.456 pmid:17746875 fatcat:brtoolbl6nffnoc3qt72aaqshm

RadarMath: An Intelligent Tutoring System for Math Education

Yu Lu, Yang Pian, Penghe Chen, Qinggang Meng, Yunbo Cao
2021 AAAI Conference on Artificial Intelligence  
We propose and implement a novel intelligent tutoring system, called RadarMath, to support intelligent and personalized learning for math education.  ...  An education-oriented knowledge graph with the individual learner's knowledge state is used as the key tool for guiding the personalized learning process.  ...  Humanities and Social Sciences Foundation of the Ministry of Education of China (No. 17YJCZH116), National Natural Science Foundation of China (No. 62077006 and No. 61807003), the Fundamental Research Funds for  ... 
dblp:conf/aaai/LuPCMC21 fatcat:rhv2yaakf5fwxndtw3tidvkdb4

Network models and sensor layers to design adaptive learning using educational mapping

Luwen Huang, Karen E. Willcox
2021 Design Science  
A network modelling approach to educational mapping leads to a scalable computational model that supports adaptive learning, intelligent tutors, intelligent teaching assistants, and data-driven continuous  ...  Application examples showcase how this modelling approach provides the design foundation for an intelligent tutoring system and intelligent teaching assistant system deployed at Arapahoe Community College  ...  These mappings provide a foundation for an intelligent teacher assistant system used in the Fly-by-Wire project.  ... 
doi:10.1017/dsj.2021.8 fatcat:ilp7rcahsbh5bci44w5blpnx5i

Data-Driven Intelligent Tutoring Systems for STEM+C Learning and Teaching

Hieu Trong Bui
2019 European Journal of Engineering Research and Science  
Intelligent tutoring systems (ITSs) have been shown to be effective in supporting students' domain-level learning through guided problem solving practice.  ...  Intelligent tutoring systems provide personalized feedback (in the form of hints) to students and improve learning at effect sizes approaching that of human tutors.  ...  Instead of taking much time for modeling domain knowledge, the data-driven approach uses a mass of correct student programs.  ... 
doi:10.24018/ejers.2019.4.9.1553 fatcat:fwntugqoyfaldmy2m6o6psi2xa


M. Ennaji, H. Boukachour, M. Machkour, Y. Kabbadj
2020 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
An Intelligent Tutorial System (ITS) is a learning computer environment. Many ITSs do not integrate human tutor since they are designed to use in autonomy by the learner.  ...  Besides, the existing ITSs are dedicated to a single learning object based on domain-dependent modelling.  ...  OUR APPROACH Computer systems for online Learning have traditionally been structured around a single educational module: an artificial tutor.  ... 
doi:10.5194/isprs-archives-xliv-4-w3-2020-227-2020 fatcat:23n6oq6mwzdhhnxhcennawjyju

Inducing High-Level Behaviors from Problem-Solving Traces Using Machine-Learning Tools

Vivien Robinet, Gilles Bisson, Mirta B. Gordon, Benoit Lemaire
2007 IEEE Intelligent Systems  
It presents a method for discovering high-level student behaviors from a very large set of low-level traces corresponding to problem-solving actions in a learning environment.  ...  We exhibit examples of this system applied to thousands of students' actions in the domain of algebraic transformations.  ...  Acknowledgements It is a pleasure to thank David Renaudie [16] as well as all members of the Did@tic team of the Leibniz Laboratory for their interest in this work, and fruitful discussions.  ... 
doi:10.1109/mis.2007.73 fatcat:46cpqms53rc3db2wluphgul6fq

Big data in education and the models that love them

Zachary A Pardos
2017 Current Opinion in Behavioral Sciences  
Acknowledgement This work was supported in part by a grant from the National Science Foundation (Award #1547055).  ...  , has focused on facilitating and measuring change (growth) in student ability and has used the mechanism of computer tutoring systems to scale instructional approaches toward that end.  ...  Longitudinally oriented models and finder-grained decomposition of constructs are therefore used by tutoring systems to track students' mastery in these constructs and adaptively guide them through lessons  ... 
doi:10.1016/j.cobeha.2017.11.006 fatcat:orrgdeufmrcqdiajl5uogikzcy
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